Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Defending Neural Backdoors via Generative Distribution Modeling
NeurIPS 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
NeurIPS 2019
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information
AAAI 2019
Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies
AAAI 2019
Deliberate Attention Networks for Image Captioning
AAAI 2019
Deliberative Explanations: visualizing network insecurities
NeurIPS 2019
DeltaDou: Expert-level Doudizhu AI through Self-play
IJCAI 2019
Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors
AAAI 2019
Demystifying Black-box Models with Symbolic Metamodels
NeurIPS 2019
Dense Intrinsic Appearance Flow for Human Pose Transfer
CVPR 2019
Densely Semantically Aligned Person Re-Identification
CVPR 2019
Densely Supervised Grasp Detector (DSGD)
AAAI 2019
Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation
IJCAI 2019
DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions
RSS 2019
Dense Procedure Captioning in Narrated Instructional Videos
ACL 2019
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare
ICCV 2019
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
CVPR 2019
Dependency or Span, End-to-End Uniform Semantic Role Labeling
AAAI 2019
Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces
IJCAI 2019
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning
NeurIPS 2019
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras
ICCV 2019
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains
AAAI 2019
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals
AAAI 2019
Design and Development of a Multi-Lingual Speech Corpora (TaMaR-EmoDB) for Emotion Analysis
Interspeech 2019
Design and Implementation of a Disambiguity Framework for Smart Voice Controlled Devices
IJCAI 2019